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ETF Flow
Real-time Spot BTC & ETH ETF API & MCP Server for AI Agents
ETF Flow provides real-time Spot Bitcoin (BTC) and Ethereum (ETH) ETF net flow data via REST API and native Model Context Protocol (MCP) server. Designed for AI agents (Cursor IDE, Claude Desktop) and quant developers. • Native MCP Server support • Normalized USD net inflow/outflow metrics • Zero anti-bot friction • OpenAPI 3.0 & Supabase Edge Function reliability Query institutional ETF flows programmatically in seconds!
Hey Product Hunt community! 👋
I'm Yasin, creator of ETF Flow.
As a developer building AI workflows and crypto analytics tools, I kept running into two big friction points when tracking institutional Spot Bitcoin & Ethereum ETF flows:
1. Enterprise APIs cost hundreds of dollars per month.
2. Web scrapers constantly broke due to Cloudflare anti-bot protection and unstandardized table formats.
So I decided to build ETF Flow — a lightweight, reliable REST API and native Model Context Protocol (MCP) server.
Now, instead of leaving your editor or parsing raw HTML tables, your AI assistants (Cursor, Claude, Windsurf) or Python scripts can query clean daily net flow data dynamically.
Try it out on our website, test the MCP server in your local AI workflows, and let me know your thoughts or feedback! 🚀
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About ETF Flow on Product Hunt
“Real-time Spot BTC & ETH ETF API & MCP Server for AI Agents”
ETF Flow was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. ETF Flow provides real-time Spot Bitcoin (BTC) and Ethereum (ETH) ETF net flow data via REST API and native Model Context Protocol (MCP) server. Designed for AI agents (Cursor IDE, Claude Desktop) and quant developers. • Native MCP Server support • Normalized USD net inflow/outflow metrics • Zero anti-bot friction • OpenAPI 3.0 & Supabase Edge Function reliability Query institutional ETF flows programmatically in seconds!
ETF Flow was featured in Crypto (39.7k followers), Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 224.6k products, making this a competitive space to launch in.
Who hunted ETF Flow?
ETF Flow was hunted by Yasin Özen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ETF Flow stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Yasin Özen